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Python Data Analysis Jobs in Houston, TX (NOW HIRING)

Berkley

Data Scientist

Houston, TX

Conduct Exploratory Data Analysis to assess data quality, structure, coverage, and predictive potential. * Build and refine data pipelines using SQL and Python. * Develop entity-matching methods ...

Turn2Partners

Junior Data Analyst

Texas City, TX · On-site

At least six months of data analysis, reporting, or related experience, including internships ... Exposure to SQL, Tableau, or Python is preferred. * Ability to manage multiple priorities and work ...

Dlapiper

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

... and Python. * Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS). * Data warehousing experience (Azure Synapse Analytics) and ...

CEDENT

Azure Data Engineer

Houston, TX

$109K - $131K/yr

Perform root cause analysis on external and internal processes and data to identify opportunity for ... Python, NoSQL, SQL, R, and competent in source code management * Build processes supporting data ...

Kanak Elite Services Inc

Sr. Python Developer

Houston, TX · On-site

$116K - $156K/yr

Role: SR. PYTHON DEVELOPER Location: Houston, TX (Onsite) local Only Local Houston Strong Python ... join the Big Data and Advanced Analytics department. The ideal candidate will have a strong ...

Innotech

Data Scientist

Houston, TX

$12K - $78K/yr

Research and devise innovative statistical models for data analysis * Communicate findings to all ... Java/Python, SAS) * Ability to work effectively in a dynamic, research-oriented group that has ...

techgenomics

Python Developer

Houston, TX

$48 - $66.25/hr

Candidate must have 4+ years of hands on experience in developing Analytical solutions using Python ... Candidate must have 2+ year of hands on experience in developing solutions using big data ...

Houston Rockets -- Toyota Center

Analyst

Houston, TX

Conduct comprehensive data analysis to inform strategic business decisions. Methodologies may ... Leverage multiple programming languages (SQL, R, Python, etc.) to query, connect, and validate data ...

techgenomics

Python Developer

Houston, TX · On-site

$48 - $66.25/hr

Candidate must have 4+ years of hands on experience in developing Analytical solutions using Python ... Candidate must have 2+ year of hands on experience in developing solutions using big data ...

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How much do python data analysis jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for python data analysis in Houston, TX is $54.28, according to ZipRecruiter salary data. Most workers in this role earn between $44.76 and $61.63 per hour, depending on experience, location, and employer.

What is a Python Data Analysis job?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the key skills and qualifications needed to thrive in the Python Data Analysis position, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

What are the typical responsibilities of someone working in Python Data Analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.

What are the most commonly searched types of Python Data Analysis jobs in Houston, TX? The most popular types of Python Data Analysis jobs in Houston, TX are:
What are popular job titles related to Python Data Analysis jobs in Houston, TX? For Python Data Analysis jobs in Houston, TX, the most frequently searched job titles are:
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What cities near Houston, TX are hiring for Python Data Analysis jobs? Cities near Houston, TX with the most Python Data Analysis job openings:
Python Data Analysis jobs near you
Data Scientist

Data Scientist

Berkley Oil & Gas (a Berkley Company)

Houston, TX • On-site

Full-time

Posted 6 days ago

Job description

Job Summary:
Berkley Oil & Gas, a W. R. Berkley Company, is an insurance underwriting manager specializing in property and casualty products for the energy sector. The Data Scientist role involves designing, building, and delivering analytical solutions to support underwriting, pricing, and operational decision-making, while collaborating with business and technical partners.
Responsibilities:
• Partner with business stakeholders to define analytical needs and prototype solutions
• Evaluate the business value of internal and third-party data sources using standardized assessment criteria.
• Build foundational understanding of relevant insurance and energy domain concepts.
• Conduct Exploratory Data Analysis to assess data quality, structure, coverage, and predictive potential.
• Build and refine data pipelines using SQL and Python.
• Develop entity-matching methods, including geospatial and temporal techniques.
• Engineer and maintain features that support analytical and predictive modeling.
• Build and evaluate predictive models, comparing performance against benchmarks.
• Quantify expected business value, costs, and ROI for proposed solutions.
• Design repeatable workflows for modeling, experimentation, and evaluation.
• Collaborate with engineering teams to integrate analytical models into production systems.
• Implement monitoring to ensure data and model quality over time.
• Identify opportunities for iteration and performance improvement based on results and business feedback.
• Work with cross-functional teams to clarify requirements and acceptance criteria.
• Prepare analytical datasets, dashboards, and reports that support decision-making.
• Communicate insights clearly to technical and non ‑ technical stakeholders.
• Conduct quality assurance checks on datasets, metrics, and models.
• Maintain documentation for data sources, features, models, and workflows.
• Automate repetitive or manual tasks using scripting and AI tooling.
Qualifications:
Required:
• 2–5 years of experience in data science or a related analytical field, including exposure to model deployment and monitoring.
• Strong sense of ownership, urgency, and self-motivation.
• Excellent written and verbal communication skills; able to convey complex concepts clearly.
• Effective collaborator with experience in cross-functional, team-oriented environments.
• Prior quantitative research experience through academic work, personal projects, or previous roles.
• Proficiency in Python (pandas, NumPy, scikit-learn) and SQL; solid understanding of databases and data modeling.
• Experience conducting exploratory data analysis, including profiling, handling missing data, and outlier detection.
• Feature engineering experience, including geospatial, temporal, and derived features.
• Familiarity with version control (e.g., GitHub) and cloud analytics platforms (e.g., Databricks).
• Understanding of Agile or SDLC practices.
• Master’s degree in data science, analytics, statistics, computer science, engineering, or related field.
Preferred:
• Familiarity with Oil & Gas or Property & Casualty insurance concepts is a plus.
Company:
Berkley Oil & Gas, a Berkley Company, is an energy insurance provider that is committed to providing innovative insurance products and services to upstream oil and gas customers. Founded in 1967, the company is headquartered in Houston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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